Added scalp power gave no clear mean depth beta prediction gain across sessions in 15 epilepsy patients after ridge calibration
We tested whether scalp power improved a depth beta estimate in a separate session. The source was OpenNeuro ds004752 version 1.0.1. The test used 15 people with epilepsy, 669 shared depth pairs, and 703 clean test trials. Each person had a ridge model fitted and tuned in the first selected session. The task model used letter count and trial number. The added model also used scalp power change from 4 to below 30 Hz. The target was depth power change from 13 to below 30 Hz. Mean error reduction was −0.26%. The 95% person bootstrap interval was −4.34% to +2.60%. The exact sign-flip p value was 0.9573. Nine people improved and six worsened. Matched scalp trials gave lower error than shuffled trials for 14 people. Weak trial alignment did not establish a clear mean gain. The result is limited to this model, task, and session selection. It does not prove absence of useful scalp information. The archive preserves source hashes, features, code, models, predictions, verification records, and three figures. This is a new analysis of a reused cohort. It tests an offline reading method.
scalp EEG · intracranial EEG · SEEG · beta power · ridge regression · cross-session prediction · brain-computer interface · epilepsy
References
4- usesEight SEEG pairs showed no clear gain over fixation for letter load across sessions in 15 patients under assumed epoch timing sci:sha256:1c0c74901b6082055c1889d816c6520f050a9fff799c8dce26e8f044f7ce2e9a
The depth EDF parser and power extraction functions originated in this archive. We preserved its code notice and used its functions for fresh source checks.
- usesAdded SEEG power showed no clear letter load gain over scalp EEG and task history across numbered sessions in 15 patients under assumed epoch timing sci:sha256:f6aeda4c84bc12a77ca4f14a6ebc3e3bf12de6fdfce9bed0543854ec9eaa47f1
We reused all 30 scalp and 30 depth power feature files, selected sessions, source metadata, checksums, and extraction code. We tested a new scalp-to-depth power estimate with every shared adjacent depth pair.
- doi:10.7554/eLife.78677
- usesdoi:10.18112/openneuro.ds004752.v1.0.1
This study uses OpenNeuro ds004752 version 1.0.1, as identified in the publication source record and pinned dataset metadata.
Cited by
1 publicationPublic catalog entries on Sciscape.
- usesFull correction from eight early trials raised mean later SEEG beta power error in 15 epilepsy patients
We used its fixed first and final session selection, paired scalp and SEEG power features, source manifests, and ridge code. The new test reserves eight early final-session trials for mean error correction and uses separate later trials to measure error.